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FastOMA/__init__.py

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__packagename__ = "FastOMA"
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__version__ = "0.1.1"
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__version__ = "0.1.2"

FastOMA/_config.py

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msa_write_all = False
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keep_subhog_each_pickle = False
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big_rhog_size = 80 * 1000
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big_rhog_size = 60 * 1000
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omamer_family_threshold = 110
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#
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# omamer_fscore_treshold_big_rhog = 0.04 # 0.5 # means no thresold #0.2 #0.5 # to have more proteins in the ortho groups 0.05 considering for big rhogs
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# omamer_treshold_big_rhog_szie2 = 50*1000
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# omamer_fscore_treshold_big_rhog2 = 0.6 #0.9
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hogclass_max_num_seq = 50 # subsampling in msa # ver very 2
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hogclass_max_num_seq = 20 # subsampling in msa # ver very 2
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hogclass_min_cols_msa_to_filter = hogclass_max_num_seq * 50
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hogclass_tresh_ratio_gap_col = 0.6 # 0.8 for very very big
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# old code after samplign if there are 2 seq sampled, then at least one nongap
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rooting_mad_executable_path = "mad" # /work/FAC/FBM/DBC/cdessim2/default/smajidi1/software/installers/mad/
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##inferhog
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inferhog_tresh_ratio_gap_row =0.1 # 0.6 # to have more proteins in the ortho groups 0.1
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inferhog_tresh_ratio_gap_row =0.4 # 0.6 # to have more proteins in the ortho groups 0.1
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inferhog_tresh_ratio_gap_col =0.5 # 0.6 # ver very 0.8
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inferhog_min_cols_msa_to_filter = 50 #300 #50 # used for msa before gene tree inference and saving msa in hog class
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README.md

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- phylostragraphy
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## Change log
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- Update v0.1.2: improve rootHOG inference, splice
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- Release v0.1.0: improve nextflow pipeline and outputs.
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- prelease v.0.0.6: use `--fragment-detection` for `infer-subhogs` and `--low-so-detection --fragment-detection`
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- prelease v.0.0.6: using input hogmpa

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